Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments

Pedro Oliveira, Pedro Oliveira, Rossana Andrade, Pedro A. Santos Neto, Evilasio Costa Junior, Evilasio Costa Junior, Ismayle S. Santos, Ismayle S. Santos, Victoria T. Oliveira, Wilson Castro, Leonan Carneiro

2025

Abstract

This paper proposes a novel dataset – called Healful Dataset – correlating real data acquired from wearable health-tracking devices with Self-reported Quality of Life (SRQoL) measures collected using the WHOQOL-BREF questionnaire. Recently, increasing interest has been shown in using technology for Quality of Life (QoL) monitoring and improvement, significantly leveraging the Internet of Health Things (IoHT). Although several tools have been developed to quantify QoL, such as the SF-36 and WHOQOL-BREF, most are based on static and bothersome questionnaires rather than ubiquitous real-time data collection. Our database addresses this gap by integrating sensor-generated data with QoL assessment, enhancing the research path focused on intelligent models for QoL monitoring that use Machine Learning techniques to predict and improve QoL. In this paper, we describe the methodology used to build this database, the scenarios in which it can be applied, and discuss its relevance for future IoHT-driven health solutions toward improving people’s QoL through personalized monitoring and interventions.

Download


Paper Citation


in Harvard Style

Oliveira P., Andrade R., Neto P., Costa Junior E., Santos I., Oliveira V., Castro W. and Carneiro L. (2025). Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 611-622. DOI: 10.5220/0013175200003911


in Bibtex Style

@conference{healthinf25,
author={Pedro Oliveira and Rossana Andrade and Pedro Neto and Evilasio Costa Junior and Ismayle Santos and Victoria Oliveira and Wilson Castro and Leonan Carneiro},
title={Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={611-622},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013175200003911},
isbn={978-989-758-731-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Healful Dataset: Integrating Wearable Data with Self-Reported Quality of Life Assessments
SN - 978-989-758-731-3
AU - Oliveira P.
AU - Andrade R.
AU - Neto P.
AU - Costa Junior E.
AU - Santos I.
AU - Oliveira V.
AU - Castro W.
AU - Carneiro L.
PY - 2025
SP - 611
EP - 622
DO - 10.5220/0013175200003911
PB - SciTePress